WO2021175116A1 - Procédé et appareil de commande de reconnaissance de scène de capture d'image et dispositif de capture d'image - Google Patents

Procédé et appareil de commande de reconnaissance de scène de capture d'image et dispositif de capture d'image Download PDF

Info

Publication number
WO2021175116A1
WO2021175116A1 PCT/CN2021/076734 CN2021076734W WO2021175116A1 WO 2021175116 A1 WO2021175116 A1 WO 2021175116A1 CN 2021076734 W CN2021076734 W CN 2021076734W WO 2021175116 A1 WO2021175116 A1 WO 2021175116A1
Authority
WO
WIPO (PCT)
Prior art keywords
shooting
shooting scene
light source
scene
distribution
Prior art date
Application number
PCT/CN2021/076734
Other languages
English (en)
Chinese (zh)
Inventor
邓元策
Original Assignee
瞬联软件科技（北京）有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 瞬联软件科技（北京）有限公司 filed Critical 瞬联软件科技（北京）有限公司
Publication of WO2021175116A1 publication Critical patent/WO2021175116A1/fr
Priority to US17/929,723 priority Critical patent/US20230106177A1/en

Links

Images

Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/60—Control of cameras or camera modules
    • H04N23/64—Computer-aided capture of images, e.g. transfer from script file into camera, check of taken image quality, advice or proposal for image composition or decision on when to take image
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/60—Control of cameras or camera modules
    • H04N23/63—Control of cameras or camera modules by using electronic viewfinders
    • H04N23/631—Graphical user interfaces [GUI] specially adapted for controlling image capture or setting capture parameters
    • H04N23/632—Graphical user interfaces [GUI] specially adapted for controlling image capture or setting capture parameters for displaying or modifying preview images prior to image capturing, e.g. variety of image resolutions or capturing parameters
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/10—Image acquisition
    • G06V10/17—Image acquisition using hand-held instruments
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/56—Extraction of image or video features relating to colour
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/60—Extraction of image or video features relating to illumination properties, e.g. using a reflectance or lighting model
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/60—Control of cameras or camera modules
    • H04N23/62—Control of parameters via user interfaces
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/60—Control of cameras or camera modules
    • H04N23/63—Control of cameras or camera modules by using electronic viewfinders
    • H04N23/631—Graphical user interfaces [GUI] specially adapted for controlling image capture or setting capture parameters
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/60—Control of cameras or camera modules
    • H04N23/63—Control of cameras or camera modules by using electronic viewfinders
    • H04N23/633—Control of cameras or camera modules by using electronic viewfinders for displaying additional information relating to control or operation of the camera
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/70—Circuitry for compensating brightness variation in the scene
    • H04N23/71—Circuitry for evaluating the brightness variation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N23/00—Cameras or camera modules comprising electronic image sensors; Control thereof
    • H04N23/70—Circuitry for compensating brightness variation in the scene
    • H04N23/74—Circuitry for compensating brightness variation in the scene by influencing the scene brightness using illuminating means

Definitions

  • the invention relates to a photographing scene recognition control method, and at the same time to a corresponding photographing scene recognition control device and photographing equipment, belonging to the technical field of photographing and imaging.
  • the light and dark images of the captured file may be different, and there may even be large shadows.
  • the shooting file will have different light and dark images, shadow occlusion, and so on.
  • Figure 1 shows the image obtained by shooting a document with a shooting device at night under the condition of a single light source indoors.
  • the printed effect may be as shown in Figure 2, and the content of the part blocked by the shadow is completely lost.
  • the primary technical problem to be solved by the present invention is to provide a shooting scene recognition control method.
  • Another technical problem to be solved by the present invention is to provide a shooting scene recognition control device.
  • Another technical problem to be solved by the present invention is to provide a photographing device that implements the above-mentioned photographing scene recognition control method.
  • a shooting scene recognition control method including the following steps:
  • the shooting device When it is determined that the current shooting scene is a blocked shooting scene, the shooting device is controlled so that the light source of the shooting device performs light source compensation for the blocked shooting scene.
  • extracting the brightness component of the preview image to obtain the brightness component information of the preview image includes the following sub-steps:
  • the brightness component information of the preview image is obtained from the digital image in the HSV space, wherein the brightness component information includes the brightness component at each pixel position of the preview image.
  • the brightness component at each pixel position in the brightness component information is statistically distributed through histogram statistics to obtain the distribution estimation of the brightness component information
  • V is the luminance component information
  • ⁇ k is the distribution estimate of the luminance component information
  • ⁇ k is the number of values falling into the interval [(k-1)* ⁇ , k* ⁇ ]
  • m and n are the number of pixels corresponding to the height and width of the preview image
  • k is a positive integer.
  • the desired ideal brightness distribution is obtained by the following formula:
  • ⁇ k and q k are sequences respectively And the desired ideal brightness distribution
  • the relative entropy between the distribution estimate of the brightness component information and the desired ideal brightness distribution is determined by the following formula:
  • Is the relative entropy Is the distribution estimation of the luminance component information
  • Is the desired ideal brightness distribution ⁇ k is the distribution estimate of the brightness component information
  • the kth element of, q k is the desired ideal brightness distribution
  • the k-th element of, k is a positive integer.
  • judging whether the current shooting scene is a blocked shooting scene according to the relative entropy includes the following sub-steps:
  • the relative entropy is less than the preset determination threshold, determine that the current shooting scene is an unoccluded shooting scene; if the relative entropy is greater than or equal to the preset determination threshold, determine that the current shooting scene is a blocked shooting scene .
  • the controlling the shooting device so that the light source of the shooting device performs light source compensation for the blocked shooting scene includes the following sub-steps:
  • the prompt message includes: a message for prompting the user to turn on the light source of the shooting device, and a start flag for starting the light source of the shooting device;
  • the camera In response to the control instruction for the start indicator, the camera is controlled to activate the light source of the camera when shooting the blocked shooting scene.
  • controlling the shooting device so that the light source of the shooting device performs light source compensation for the blocked shooting scene further includes the following sub-steps:
  • the shooting mode includes a private shooting mode and a public shooting mode
  • the shooting device When the shooting mode of the current shooting device is the private shooting mode, the shooting device is controlled to generate a prompt message; the prompt message includes a message for prompting the user to turn on the light source of the shooting device, and a start flag for starting the light source of the shooting device; The control instruction of the start flag controls the shooting device to start the light source of the shooting device when shooting the blocked shooting scene; when the current shooting mode of the shooting device is the public shooting mode, the shooting device is controlled to start the shooting device when shooting the blocked shooting scene Light source.
  • a shooting scene recognition control device including:
  • the image acquisition unit is used to obtain a preview image of the current shooting scene collected by the shooting device
  • a brightness component extraction unit configured to perform brightness component extraction on the preview image to obtain brightness component information of the preview image
  • a distribution estimation unit for obtaining distribution estimation of luminance component information and desired ideal luminance distribution
  • a relative entropy determining unit used to determine the relative entropy between the distribution estimate of the brightness component information and the desired ideal brightness distribution
  • a shooting scene judging unit configured to judge whether the current shooting scene is a blocked shooting scene according to the relative entropy
  • the shooting device control unit is used to control the shooting device when it is determined that the current shooting scene is a blocked shooting scene, so that the light source of the shooting device performs light source compensation for the blocked shooting scene.
  • a photographing device including a processor coupled with a memory and configured to execute programs or instructions in the memory, so that the photographing device implements the first The shooting scene recognition control method described in the aspect.
  • the shooting scene recognition control method, device and shooting equipment provided by the present invention can extract the brightness component of the preview image of the current shooting scene collected by the shooting device to obtain the brightness component information of the preview image; and then obtain the distribution estimation and the brightness component information.
  • the desired ideal brightness distribution thus, the relative entropy between the distribution estimate of the brightness component information and the desired ideal brightness distribution can be determined; and then it can be determined whether the current shooting scene is a blocked shooting scene according to the relative entropy; When the shooting scene is blocked, the shooting device is controlled so that the light source of the shooting device performs light source compensation for the blocked shooting scene.
  • the shooting device is controlled to compensate for the light source, thereby improving the clarity of the captured image and improving Image browsing and printing effects.
  • FIG. 1 is a schematic diagram of an image obtained by photographing a document with a photographing device in the prior art
  • FIG. 2 is a schematic diagram of an effect image obtained by printing an image obtained by photographing a document by a photographing device in the prior art
  • FIG. 3 is a flowchart 1 of a method for identifying and controlling a shooting scene according to an embodiment of the present invention
  • FIG. 4 is a schematic diagram of a scene where a user photographs a file in an embodiment of the present invention
  • FIG. 5 is a second flowchart of a method for identifying and controlling a shooting scene according to an embodiment of the present invention
  • Fig. 6 is a schematic diagram of an interface of a prompt message in an embodiment of the present invention.
  • FIG. 7 is the first schematic diagram of the result of the simulation test in the embodiment of the present invention.
  • FIG. 8 is the second schematic diagram of the result of the simulation test in the embodiment of the present invention.
  • FIG. 9 is a schematic structural diagram of a photographing scene recognition control device provided by an embodiment of the present invention.
  • an embodiment of the present invention provides a method for identifying and controlling a shooting scene. As shown in Figure 3, the method includes the following steps:
  • Step S101 Obtain a preview image of the current shooting scene collected by the shooting device.
  • Step S102 Perform brightness component extraction on the preview image to obtain brightness component information of the preview image.
  • Step S103 Obtain the distribution estimate of the brightness component information and the desired ideal brightness distribution.
  • Step S104 Determine the relative entropy between the distribution estimate of the brightness component information and the desired ideal brightness distribution.
  • Step S105 Determine whether the current shooting scene is a blocked shooting scene according to the relative entropy.
  • Step S106 When it is determined that the current shooting scene is a blocked shooting scene, control the shooting device so that the light source of the shooting device performs light source compensation for the blocked shooting scene.
  • the user holds the mobile phone 201 and wants to take a picture of a document 202, but its back to the light source 203, so the user’s mobile phone 201 blocks the light source 203, and a shadow 204 left by the mobile phone 201 appears on the document 202.
  • the following embodiments of the present invention will provide a shooting scene recognition and control method to target the scene as shown in FIG. 4.
  • an embodiment of the present invention provides a shooting scene recognition control method, which includes the following steps:
  • Step S301 Obtain a preview image of the current shooting scene collected by the shooting device.
  • a photographing device refers to a device having an image photographing function, such as a camera, a mobile phone, a tablet computer, and a notebook computer.
  • the above-mentioned photographing device may be provided with a built-in light source (for example, a flash is provided on a mobile phone), or may be equipped with an external light source (for example, a single-lens reflex camera, etc. may be equipped with an external light source).
  • obtaining the preview image of the current shooting scene collected by the shooting device in step S301 may be to start the shooting function of the shooting device, and the lens of the shooting device collects the preview image of the current shooting scene. For example, through the lens of the mobile phone, a preview image of the current shooting scene is collected, and the preview image can be displayed on the screen of the mobile phone.
  • the embodiment of the present invention involves the blocked shooting scene and the unobstructed shooting scene. The embodiment of the present invention will determine which scene the current shooting scene belongs to.
  • the corresponding digital image corresponds to a data matrix D with a dimension of m ⁇ n ⁇ 3, where m and n are the number of pixels corresponding to the height and width of the image, respectively.
  • D is represented by the data of the three color channels of R/G/B (red/green/blue), and its dimensions are all m ⁇ n.
  • Step S302 Convert the preview image into a digital image in chroma, saturation, and brightness (abbreviated as HSV) space.
  • the preview image can be converted into a digital image in HSV space according to formula (1), where H (Hue) corresponds to chroma information, S (Saturation) corresponds to saturation information, and V (Value) corresponds to Brightness information.
  • h ij h ij +360.
  • r ij , g ij and b ij are the elements of matrix D at (i, j, 1), (i, j, 2) and (i, j, 3), respectively.
  • h ij is the matrix element in row i and H j columns
  • s ij is the matrix element in row i and S j columns
  • v ij is the matrix element in row i and V j columns.
  • the output of v ij is in the range of [0,1]
  • the output of s ij is in the range of [0,1]
  • the h ij is in the range of [0,360].
  • Step S303 Obtain the brightness component information V of the preview image from the digital image in the HSV space, where V includes the brightness component at each pixel position of the preview image.
  • Step S304 Perform distribution statistics of the brightness component at each pixel position in the brightness component information V through histogram statistics, and determine the distribution estimate of the brightness component information
  • ⁇ k is the distribution estimation of the luminance component information
  • ⁇ k is the number of values that fall into the interval [(k-1)* ⁇ , k* ⁇ ]
  • m and n are the number of pixels corresponding to the height and width of the preview image, respectively.
  • the physical meaning of ⁇ k represents the ratio of pixels whose brightness value falls within the interval [(k-1)* ⁇ , k* ⁇ ] to the total pixel points. It should be noted that in each embodiment of the present invention, i, j, m, n, k, etc. are all positive integers.
  • Step S305 Determine the desired ideal brightness distribution
  • the desired ideal brightness distribution can be determined by the following formula (3) As shown in formula (3):
  • ⁇ k and q k are respectively the sequence And the desired ideal brightness distribution
  • the index where the maximum value of ⁇ is located; ⁇ is a preset adjustable parameter, for example, it can be preferably 10.
  • the physical meaning of this adjustable parameter reflects the light-gathering effect of the light source on the paper plane. Specifically, the smaller the parameter, the better the light source The better the light-gathering effect is, and vice versa, the light-gathering effect is slightly worse.
  • Step S306 Determine the relative entropy between the distribution estimate of the brightness component information and the desired ideal brightness distribution.
  • the relative entropy can be determined according to formula (4), which is:
  • Step S307 Determine whether the relative entropy is less than a preset determination threshold.
  • the judgment threshold value may be 0.5, and the judgment threshold value represents the sensitivity of the judgment algorithm.
  • step 308 is executed; otherwise, if the relative entropy is greater than or equal to the preset determination threshold value, step 309 is executed.
  • Step S308 Determine that the current shooting scene is an unobstructed shooting scene.
  • step 308 it means that the current shooting scene does not require light source compensation, and the subsequent image acquisition can be directly performed.
  • Step S309 Determine that the current shooting scene is a blocked shooting scene.
  • step S309 step 310 is continued.
  • Step S310 Control the shooting device so that the light source of the shooting device performs light source compensation for the blocked shooting scene.
  • this step S310 can be implemented in the following multiple ways, for example:
  • the prompt message includes a message for prompting the user to turn on the light source of the shooting device, and a start flag for starting the light source of the shooting device; in response to the control instruction for the start flag, control the shooting device to shoot The light source of the shooting device is activated when the shooting scene is blocked.
  • a prompt message is generated on the shooting device, such as a mobile phone, and displayed, such as "Detecting that you are in a shooting scene with a blocked light source, it is recommended to turn on the phone Flash, sure to turn on?".
  • an activation mark for starting the light source of the shooting device a "Yes” button
  • a cancellation mark for not starting the light source a "No” button are provided accordingly. In this way, after the user clicks the "Yes” button, the user can control the mobile phone to start the mobile phone flash when shooting the blocked shooting scene.
  • the shooting device for convenience, to ensure the continuity of user operations, and to avoid the prompt message similar to the one in mode one from repeatedly interfering with the user, you can also directly control the shooting device to be blocked when the current shooting scene is judged to be a blocked shooting scene.
  • Activate the light source of the shooting device when shooting a scene For example, taking a mobile phone as an example, when the user's shooting scene is a blocked shooting scene, the mobile phone flash is directly activated to compensate for the light source of the blocked shooting scene.
  • Method 3 Determine the type according to the shooting mode:
  • the shooting mode for the shooting device before shooting.
  • the reason is that some shooting is more private and you don’t want to let onlookers know that the photographer is shooting, so you can set the corresponding private shooting mode.
  • the light source is not allowed to be directly Start, and need to be confirmed by the user to start. If the shooting is more conventional, you can set the corresponding public shooting mode, and the light source is allowed to be directly activated at this time.
  • the shooting device when it is determined that the current shooting scene is a blocked shooting scene, when the shooting mode of the current shooting device is the private shooting mode, the shooting device can be controlled to generate a prompt message; the prompt message includes information for prompting the user to turn on the light source of the shooting device Message, and a start flag for starting the light source of the shooting device; in response to a control instruction for the start flag, the shooting device is controlled to start the light source of the shooting device when shooting a blocked shooting scene.
  • the shooting device is controlled to activate the light source of the shooting device when shooting the blocked shooting scene.
  • the light source when the shooting mode of the current shooting device is the private shooting mode, the light source can be activated in the manner described above; and when the shooting mode of the current shooting device is the public shooting mode, the light source can be activated in the manner described above. Light source, I won’t repeat it here.
  • the present invention performs simulation tests on the above steps S301 to S310.
  • two sets of data were used for comparison in the experiment.
  • the first group (two sets of data in Figure 7) is a comparison of edge occlusion and unocclusion data. It can be seen that the brightness distribution in the unoccluded scene is relatively in line with the Gaussian-like distribution, while the distribution of the brightness component corresponding to the image in the occluded scene has two obvious peaks. Therefore, the relative entropy of the Gaussian distribution is quite different.
  • the second set of data (the two sets of data in Figure 8), where the third set of data is simulated as the fourth set of data processed by the method of the embodiment of the present invention, and it is determined to block the light source to shoot the scene, and then the light source of the shooting device is turned on ( Mobile phone flash) shooting results.
  • the conclusion of the comparison between the two groups of data ( Figure 8) is consistent with the conclusion of the previous two groups of comparison ( Figure 7).
  • an embodiment of the present invention further provides a shooting scene recognition control device, including:
  • the image collection unit 41 is used to obtain a preview image of the current shooting scene collected by the shooting device.
  • the brightness component extraction unit 42 is configured to extract the brightness component of the preview image to obtain the brightness component information of the preview image.
  • the distribution estimating unit 43 is used to obtain the distribution estimation of the luminance component information and the desired ideal luminance distribution.
  • the relative entropy determining unit 44 is configured to determine the relative entropy between the distribution estimate of the brightness component information and the desired ideal brightness distribution.
  • the shooting scene judging unit 45 is used for judging whether the current shooting scene is a blocked shooting scene according to the relative entropy.
  • the shooting device control unit 46 is configured to control the shooting device when it is determined that the current shooting scene is a blocked shooting scene, so that the light source of the shooting device performs light source compensation for the blocked shooting scene.
  • An embodiment of the present invention provides a photographing device, including a processor, which is coupled with a memory, and is configured to execute a program or instruction in the memory, so that the photographing device implements the shooting scene recognition control method described in FIGS. 3 to 8 above .
  • the embodiment of the present invention also provides a computer-readable storage medium with instructions stored on the readable storage medium, which when run on a computer, causes the computer to implement the shooting scene recognition control method described in FIGS. 3 to 8 above.
  • the embodiment of the present invention further provides a computer program product containing instructions, which when running on a computer, causes the computer to implement the shooting scene recognition control method described in FIGS. 3 to 8 above.
  • the shooting scene recognition control method, device and shooting equipment provided by the present invention can extract the brightness component of the preview image of the current shooting scene collected by the shooting device to obtain the brightness component information of the preview image; and then obtain the distribution estimation and the brightness component information.
  • Expect the ideal brightness distribution thus, the relative entropy between the distribution estimate of the brightness component information and the desired ideal brightness distribution can be determined; and then, according to the relative entropy, it can be judged whether the current shooting scene is a blocked shooting scene; the current shooting scene is judged to be blocked
  • the shooting device is controlled so that the light source of the shooting device performs light source compensation for the blocked shooting scene.
  • the shooting device is controlled to compensate for the light source, thereby improving the clarity of the captured image and improving Image browsing and printing effects.

Landscapes

  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Human Computer Interaction (AREA)
  • Software Systems (AREA)
  • Studio Devices (AREA)

Abstract

Sont divulgués ici un procédé et un appareil de commande de reconnaissance de scène de capture d'image, et un dispositif de capture d'image. Le procédé comprend les étapes suivantes consistant à : obtenir une image de prévisualisation d'une scène de capture d'image courante collectée par un dispositif de capture d'image ; extraire une composante de luminosité de l'image de prévisualisation, et obtenir des informations de composante de luminosité de l'image de prévisualisation ; obtenir une estimation de distribution des informations de composante de luminosité et une distribution de luminosité idéale souhaitée ; déterminer l'entropie relative entre l'estimation de distribution des informations de composante de luminosité et la distribution de luminosité idéale souhaitée ; en fonction de l'entropie relative, déterminer si la scène de capture d'image courante est une scène de capture d'image ombrée ; lorsqu'il est déterminé que la scène de capture d'image courante est une scène de capture d'image ombrée, commander le dispositif de capture d'image de telle sorte que la source de lumière du dispositif de capture d'image compense la source de lumière dans la scène de capture d'image ombrée. La présente invention peut reconnaître de manière intelligente une scène de capture d'image, déterminer si un ombrage se produit dans une scène de capture d'image courante, et compenser la source de lumière lorsque l'ombrage se produit, ce qui permet d'augmenter la clarté d'une image capturée, et d'améliorer l'effet de navigation et d'impression de l'image.
PCT/CN2021/076734 2020-03-05 2021-02-18 Procédé et appareil de commande de reconnaissance de scène de capture d'image et dispositif de capture d'image WO2021175116A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
US17/929,723 US20230106177A1 (en) 2020-03-05 2022-09-05 Image capture scene recognition control method and apparatus and image capture device

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN202010145754.1A CN111327827B (zh) 2020-03-05 2020-03-05 拍摄场景识别控制方法、装置及拍摄设备
CN202010145754.1 2020-03-05

Related Child Applications (1)

Application Number Title Priority Date Filing Date
US17/929,723 Continuation US20230106177A1 (en) 2020-03-05 2022-09-05 Image capture scene recognition control method and apparatus and image capture device

Publications (1)

Publication Number Publication Date
WO2021175116A1 true WO2021175116A1 (fr) 2021-09-10

Family

ID=71171469

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2021/076734 WO2021175116A1 (fr) 2020-03-05 2021-02-18 Procédé et appareil de commande de reconnaissance de scène de capture d'image et dispositif de capture d'image

Country Status (3)

Country Link
US (1) US20230106177A1 (fr)
CN (1) CN111327827B (fr)
WO (1) WO2021175116A1 (fr)

Families Citing this family (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3908963A1 (fr) * 2019-01-07 2021-11-17 Mobius Labs GmbH Capture automatisée d'images comprenant une caractéristique souhaitée
CN111327827B (zh) * 2020-03-05 2023-12-26 瞬联软件科技（北京）有限公司 拍摄场景识别控制方法、装置及拍摄设备
CN113347359B (zh) * 2021-06-02 2022-10-04 深圳康佳电子科技有限公司 图像采集装置的位置调整方法、装置、设备及存储介质

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040012682A1 (en) * 2002-07-08 2004-01-22 Minolta Co., Ltd. Image capturing apparatus
CN105872399A (zh) * 2016-04-19 2016-08-17 奇酷互联网络科技（深圳）有限公司 逆光检测方法和逆光检测系统
CN106210553A (zh) * 2016-07-11 2016-12-07 浙江宇视科技有限公司 一种阴影遮挡下的抓拍优化方法及装置
CN108769542A (zh) * 2018-05-30 2018-11-06 北京图森未来科技有限公司 一种曝光参数确定方法、装置和可读介质
CN111327827A (zh) * 2020-03-05 2020-06-23 瞬联软件科技（北京）有限公司 拍摄场景识别控制方法、装置及拍摄设备

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007156296A (ja) * 2005-12-08 2007-06-21 Nikon Corp カメラ
JP2010237306A (ja) * 2009-03-30 2010-10-21 Fujifilm Corp 撮影装置および撮影方法
US8625902B2 (en) * 2010-07-30 2014-01-07 Qualcomm Incorporated Object recognition using incremental feature extraction
JP6137855B2 (ja) * 2013-02-07 2017-05-31 オリンパス株式会社 撮像装置、撮像方法及びプログラム
US9325876B1 (en) * 2014-09-08 2016-04-26 Amazon Technologies, Inc. Selection of a preferred image from multiple captured images
CN104301624B (zh) * 2014-10-30 2018-04-03 青岛海信移动通信技术股份有限公司 一种图像拍摄亮度控制方法及装置
CN105915815B (zh) * 2016-05-31 2019-03-08 北京奇虎科技有限公司 一种基于移动设备进行拍摄的方法、装置和移动设备
CN109547701B (zh) * 2019-01-04 2021-07-09 Oppo广东移动通信有限公司 图像拍摄方法、装置、存储介质及电子设备

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20040012682A1 (en) * 2002-07-08 2004-01-22 Minolta Co., Ltd. Image capturing apparatus
CN105872399A (zh) * 2016-04-19 2016-08-17 奇酷互联网络科技（深圳）有限公司 逆光检测方法和逆光检测系统
CN106210553A (zh) * 2016-07-11 2016-12-07 浙江宇视科技有限公司 一种阴影遮挡下的抓拍优化方法及装置
CN108769542A (zh) * 2018-05-30 2018-11-06 北京图森未来科技有限公司 一种曝光参数确定方法、装置和可读介质
CN111327827A (zh) * 2020-03-05 2020-06-23 瞬联软件科技（北京）有限公司 拍摄场景识别控制方法、装置及拍摄设备

Also Published As

Publication number Publication date
CN111327827A (zh) 2020-06-23
CN111327827B (zh) 2023-12-26
US20230106177A1 (en) 2023-04-06

Similar Documents

Publication Publication Date Title
WO2021175116A1 (fr) Procédé et appareil de commande de reconnaissance de scène de capture d'image et dispositif de capture d'image
JP6395810B2 (ja) 動きゴーストフィルタリングのための基準画像選択
WO2020034737A1 (fr) Procédé de commande d'imagerie, appareil, dispositif électronique et support d'informations lisible par ordinateur
WO2017215501A1 (fr) Procédé et dispositif de traitement de réduction de bruit d'image et support de stockage informatique
US9813635B2 (en) Method and apparatus for auto exposure value detection for high dynamic range imaging
US8305487B2 (en) Method and apparatus for controlling multiple exposures
JP6259185B2 (ja) 撮像装置及びその制御方法、プログラム並びに記憶媒体
CN101213828B (zh) 将虹膜颜色结合到红眼修正中的方法和设备
US8629919B2 (en) Image capture with identification of illuminant
US8558935B2 (en) Scene information displaying method and apparatus and digital photographing apparatus using the scene information displaying method and apparatus
US8760561B2 (en) Image capture for spectral profiling of objects in a scene
US8860840B2 (en) Light source estimation device, light source estimation method, light source estimation program, and imaging apparatus
WO2019001163A1 (fr) Procédé et appareil d'ajustement de l'équilibre des blancs, appareil photo, et support.
US8786728B2 (en) Image processing apparatus, image processing method, and storage medium storing image processing program
WO2019019904A1 (fr) Procédé et appareil de traitement d'équilibrage de blancs, et terminal
CN107682611B (zh) 对焦的方法、装置、计算机可读存储介质和电子设备
CN113691795A (zh) 图像处理设备、图像处理方法和存储介质
US20130293735A1 (en) Imaging control device, imaging apparatus, and control method for imaging control device
US8149317B2 (en) Display device, photographing apparatus, and display method
JP2020504969A (ja) インテリジェント撮影方法及び装置、インテリジェント端末
JP2010141609A (ja) 撮像装置
JP2008109668A (ja) カメラのデジタル写真のための傷修復ツール
WO2017071560A1 (fr) Procédé et dispositif de traitement d'image
KR101589493B1 (ko) 플래시를 이용한 화이트 밸런스 조정 방법 및 장치, 이를 이용한 디지털 촬영 장치
JP2004180173A (ja) 撮影装置

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 21764991

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

32PN Ep: public notification in the ep bulletin as address of the adressee cannot be established

Free format text: NOTING OF LOSS OF RIGHTS PURSUANT TO RULE 112(1) EPC (EPO FORM 1205A DATED 25/01/2023)

122 Ep: pct application non-entry in european phase

Ref document number: 21764991

Country of ref document: EP

Kind code of ref document: A1